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09/15/2020
The Importance of Pessimism in Fixed-Dataset Policy Optimization
We study worst-case guarantees on the expected return of fixed-dataset p...
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06/06/2019
DeepMDP: Learning Continuous Latent Space Models for Representation Learning
Many reinforcement learning (RL) tasks provide the agent with high-dimen...
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03/07/2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
Few-shot classification refers to learning a classifier for new classes ...
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02/19/2019
Hyperbolic Discounting and Learning over Multiple Horizons
Reinforcement learning (RL) typically defines a discount factor as part ...
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01/27/2019
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift
In this paper we revisit the method of off-policy corrections for reinfo...
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12/14/2018